Prognostic Significance of Categorizing Gastric Carcinoma by PD-L1 Expression and Tumor Infiltrating Lymphocytes. 2018

Byeong-Joo Noh, and Ji Hoon Kim, and Dae-Woon Eom
Department of Pathology, University of Ulsan College of Medicine, Gangneung, Korea.

OBJECTIVE We categorized gastric cancers into four types of tumor immune microenvironment based on PD-L1 expression and tumor-infiltrating lymphocytes (TILs) to analyze clinicopathologic characteristics and recommend an immunotherapy-targetable subgroup. METHODS Formalin-fixed, paraffin-embedded tissue samples of randomly selected gastric adenocarcinoma (n=479) were obtained and arrayed using a tissue-arraying instrument. Immunohistochemical stains for PD-L1, PD-1, and CD8 were performed and evaluated in addition to microsatellite instability, EBV infection, and HER-2 analyses. RESULTS Tumor microenvironment immune type (TMIT) I (both PD-L1-positive tumor cells & CD8-high TILs) and type III (PD-L1-positive tumor cells & CD8-low TILs) showed the best and worse prognosis, respectively. PD-L1 expression was significantly associated with Epstein-Barr virus infection (p<0.001) and microsatellite instability status (p<0.001). PD-L1 immunoreactivity was positively correlated with TILs having CD8 or PD-1 overexpression. CONCLUSIONS TMIT I subgroup showed more patent CD8/PD-L1/PD-1 signaling pathway compared to other types. Therefore, TMIT I subgroup is a good candidate to predict effective response rate for immune checkpoint blockers. Such stratification of gastric cancers into four types can be used to predict the prognosis of patients and determine the immunotherapy-targetable subgroup.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D002277 Carcinoma A malignant neoplasm made up of epithelial cells tending to infiltrate the surrounding tissues and give rise to metastases. It is a histological type of neoplasm and not a synonym for "cancer." Carcinoma, Anaplastic,Carcinoma, Spindle-Cell,Carcinoma, Undifferentiated,Carcinomatosis,Epithelial Neoplasms, Malignant,Epithelioma,Epithelial Tumors, Malignant,Malignant Epithelial Neoplasms,Neoplasms, Malignant Epithelial,Anaplastic Carcinoma,Anaplastic Carcinomas,Carcinoma, Spindle Cell,Carcinomas,Carcinomatoses,Epithelial Neoplasm, Malignant,Epithelial Tumor, Malignant,Epitheliomas,Malignant Epithelial Neoplasm,Malignant Epithelial Tumor,Malignant Epithelial Tumors,Neoplasm, Malignant Epithelial,Spindle-Cell Carcinoma,Spindle-Cell Carcinomas,Tumor, Malignant Epithelial,Undifferentiated Carcinoma,Undifferentiated Carcinomas
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012189 Retrospective Studies Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons. Retrospective Study,Studies, Retrospective,Study, Retrospective
D013274 Stomach Neoplasms Tumors or cancer of the STOMACH. Cancer of Stomach,Gastric Cancer,Gastric Neoplasms,Stomach Cancer,Cancer of the Stomach,Gastric Cancer, Familial Diffuse,Neoplasms, Gastric,Neoplasms, Stomach,Cancer, Gastric,Cancer, Stomach,Cancers, Gastric,Cancers, Stomach,Gastric Cancers,Gastric Neoplasm,Neoplasm, Gastric,Neoplasm, Stomach,Stomach Cancers,Stomach Neoplasm
D015398 Signal Transduction The intracellular transfer of information (biological activation/inhibition) through a signal pathway. In each signal transduction system, an activation/inhibition signal from a biologically active molecule (hormone, neurotransmitter) is mediated via the coupling of a receptor/enzyme to a second messenger system or to an ion channel. Signal transduction plays an important role in activating cellular functions, cell differentiation, and cell proliferation. Examples of signal transduction systems are the GAMMA-AMINOBUTYRIC ACID-postsynaptic receptor-calcium ion channel system, the receptor-mediated T-cell activation pathway, and the receptor-mediated activation of phospholipases. Those coupled to membrane depolarization or intracellular release of calcium include the receptor-mediated activation of cytotoxic functions in granulocytes and the synaptic potentiation of protein kinase activation. Some signal transduction pathways may be part of larger signal transduction pathways; for example, protein kinase activation is part of the platelet activation signal pathway. Cell Signaling,Receptor-Mediated Signal Transduction,Signal Pathways,Receptor Mediated Signal Transduction,Signal Transduction Pathways,Signal Transduction Systems,Pathway, Signal,Pathway, Signal Transduction,Pathways, Signal,Pathways, Signal Transduction,Receptor-Mediated Signal Transductions,Signal Pathway,Signal Transduction Pathway,Signal Transduction System,Signal Transduction, Receptor-Mediated,Signal Transductions,Signal Transductions, Receptor-Mediated,System, Signal Transduction,Systems, Signal Transduction,Transduction, Signal,Transductions, Signal
D016016 Proportional Hazards Models Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time. Cox Model,Cox Proportional Hazards Model,Hazard Model,Hazards Model,Hazards Models,Models, Proportional Hazards,Proportional Hazard Model,Proportional Hazards Model,Cox Models,Cox Proportional Hazards Models,Hazard Models,Proportional Hazard Models,Hazard Model, Proportional,Hazard Models, Proportional,Hazards Model, Proportional,Hazards Models, Proportional,Model, Cox,Model, Hazard,Model, Hazards,Model, Proportional Hazard,Model, Proportional Hazards,Models, Cox,Models, Hazard,Models, Hazards,Models, Proportional Hazard

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